Question: Let $\mathbb{C}^{11}$ is a vector space over $\mathbb{C}$ and $T:\mathbb{C}^{11}\to \mathbb{C}^{11}$ is a linear transformation. If dimension of Kernel $T=4$, dimension of Kernel $T^3=9$ and dimension of Kernel $T^4=11$. Then the dimension of Kernel $T^2=$............
Since $T$ is a linear operator, $T^2, T^3,T^4$ will also be linear operators and there will be matrices associated with these linear operators, say $[T]$ represents the matrix related to the linear operator $T$. By rank-nullity theorem, we get $rank(T)+nullity(T)=dim(\mathbb{C}^{11})=11$. So, rank$(T)=7$ and similarly, we can get rank$(T^3)=2$ and rank$(T^4)=0$. Therefore, $T$ is nilpotent. Again by rank-nullity theorem, $nullity(T^2)=dim(\mathbb{C}^{11})-rank(T^2)=11-rank(T^2)$. Now the main problem is reduced to find the rank of $T^2$.
We know that $T$ is nilpotent. Now, let $B_{11 \times 11}=T^2$ and $B^2=T^4=0$, then the rank of $B$ can be found using this fact Matrix algebra: If $A^2=0$, Proof rank(A) $\le \frac{n}{2}$ . We get, rank$(T^2)\leq \frac{11}{2}$. In this way we can tell possibilities of the dimension of Kernel of $T^2$.
Can we only find the possibilities not the exact rank of $T^2$ with the given data?